Brad Culbert
Executive Director - Strategy & Solutions
Bistech – The Business Analytics Experts
http://www.bistech.com.au
Business Analytics Trends and Predictions
2014 - 2015

General Industry Trends
Consumerisation
of Business IT
Disruptive Force
of Cloud
Tangible Big Data,
Limited Adoption
Big Data Hype
to
Internet of Things
Agile Lines of
Business
Shortage of
Analytic Skills

Business Analytics Capability Trends
Visual Data Discovery
•will remain the "killer app", with
predictive elements added as a logical
extension.
Story Boarding
•will gain popularity as a method of
presenting analysis findings back to
colleagues
Location Intelligence
•will see a spike in interest thanks to
Gartner Magic Quadrant requirement
Decision Management
•will emerge as a key capability in the
medium term as a logical next step
from predictive analytics
Cognitive Computing
•initially in the form of natural
language query, will begin emerging
Self-Service Data Preparation
•to support business user data discovery

Next Generation Information Management
Evolution of the traditional Enterprise Data Warehouse (EDW):
• Technologies to improve performance, efficiency and reduce cost are maturing and becoming
more commoditised (eg. in-memory, columnar indexes, cloud & massively parallel processing)
• Exploding data & new capabilities changing the face of information management (eg.
unstructured, real-time data streaming)
New approaches needed to support self-service data
discovery, data mining, predictive modelling and big
data initiatives
• Flexible governance policies needed to support
agile, self-service data preparation
• A new breed of simpler, approachable governance
tools needed to prevent chaos!
Credit: Claudia Imhoff
An example extended EDW architecture • Key Term: Data Warehouse Modernisation
• Key Issue: Much Big Data focus has been on
technology and not business value
• Key Focus: Focus on tangible use cases that drive
improved business outcomes

Business Analytics on the Cloud
Cloud
• The business problems remain the same, cloud is just
another delivery mechanism
• Focus on cloud benefits for Business Analytics, not just
infrastructure management benefits when researching
• BUT, don't under-estimate cloud as a disruptive, enabling force.
It is driving:
• A new breed of business analytic / performance management
capabilities
• A significant shift in the way customers look to purchase and
consume technology, shifting to a pay-as-you-go model
Key Value Proposition:
Got data, want insights…
… but don’t want to deal with installation, configuration, integration, tuning, optimization,
maintenance, and support of a BA platform
• Consider Public & Private Cloud

My Business Analytics Predictions
Everyone's doing BI, but who’s doing it well?
• LOB Self Service BI will continue to be the driving force behind new BI initiatives
• New multi-layered BI/data environments are needed to support this in a managed way
• Agile BI reigns supreme!
The era of cloud analytics is upon us
• significant movement in this space over next 12 months
• Integration of hybrid cloud/on-premise applications will be a key consideration
• Almost all new vendor innovation currently focused on cloud-deployed platforms
Mobile Analytics will gain further mainstream adoption
• Supported by a new generation of BA toolsets, becoming a primary delivery mechanism
• Further driven by increased use of cloud-based platforms
• Increased use of mobile contribution and review/workflow
Predictive Analytics will gain further mainstream adoption
• BUT, due to lack of "data science" skills, approaches that guide business users through the process
will be most broadly deployed
• Forward looking BI will be a key agenda
• Will be increasingly used to validate & improve accuracy of forecasts

My Business Analytics Predictions cont.
Limited adoption of Social Media Analytics
•Perceived challenges around data collection and processing barriers to entry
•Adoption limited to industries whose customer base are active on social media
•As much value to be had in analysing metadata of posts as from analysing the content
Further vendor consolidation will take place
•BA/Big Data market has become crowded and fragmented with pure-play vendors in
the visualisation, big data and cloud space
Data Warehouse modernisation will become a key agenda
•In-memory processing, columnar storage, improved compression, parallel processing,
Hadoop, streaming data, data refinement, …
Customers increasingly looking for value-added IP
•Comparable product functionality will cause customers to differentiate service
providers on industry-specific expertise and unique IP more and more.

Reflecting on Implementation
Approaches

A new approach to business analytics?

Traditional Waterfall Implementation Approach
Deploy
Operate
Build
Analyse
Design
Bistech Implementation Methodology (BIM) Waterfall

Agile Implementation Approach
Build
Initiate
& Governance
Deploy
Operate
Bistech Implementation Methodology (BIM) Agile

Approach Comparison
Features
Cost TimeframeRequirements
Cost Timeframe
Waterfall Methodology Agile Methodology

Shaping your Business Analytics Strategy
Key Questions to Ask
•Is your implementation approach agile?
•Is your analytics predictive?
•What is your organisation’s cloud strategy?
•Does your analytics environment support self service, sharing AND production
reporting
•What data sources aren’t being leveraged for analytics?
•How could analytics revolutionise your organisation’s core business?
Keys Actions to Take
•Engage with your business community about value-adding use cases
•What’s possible today is very different to what was possible even 2 years ago!
•Demonstrate the “art of the possible” to business users
•They don’t know what to ask for until you show them what’s possible!
•Create an Implementation Roadmap to guide delivery
•We’d love to help!

Bistech – The Business Analytics Experts
Level 20, 300 Queen Street Brisbane QLD 4000
P: 07 3230 0377 E: info@bistech.com.au
www.bistech.com.au
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